Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3660
Missing cells	6621
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	686.2 KiB
Average record size in memory	192.0 B

Variable types

Categorical	13
Numeric	10

Alerts

`society` has a high cardinality: 674 distinct values	High cardinality
`sector` has a high cardinality: 113 distinct values	High cardinality
`areaWithType` has a high cardinality: 2349 distinct values	High cardinality
`price` is highly overall correlated with `price_per_sqft` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`area` is highly overall correlated with `price` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `price` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `price` and 5 other fields	High correlation
`super_built_up_area` is highly overall correlated with `price` and 7 other fields	High correlation
`built_up_area` is highly overall correlated with `price` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `price` and 5 other fields	High correlation
`property_type` is highly overall correlated with `price` and 2 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`store room` is highly imbalanced (55.8%)	Imbalance
`others` is highly imbalanced (50.1%)	Imbalance
`facing` has 1039 (28.4%) missing values	Missing
`super_built_up_area` has 1785 (48.8%) missing values	Missing
`built_up_area` has 1986 (54.3%) missing values	Missing
`carpet_area` has 1791 (48.9%) missing values	Missing
`area` is highly skewed (γ1 = 29.73095613)	Skewed
`built_up_area` is highly skewed (γ1 = 40.52309524)	Skewed
`carpet_area` is highly skewed (γ1 = 24.31382719)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`luxury_score` has 459 (12.5%) zeros	Zeros

Reproduction

Analysis started	2023-12-05 15:45:48.459712
Analysis finished	2023-12-05 15:46:01.214910
Duration	12.76 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

property_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

flat	2817
house	843

Length

Max length	5
Median length	4
Mean length	4.2303279
Min length	4

Characters and Unicode

Total characters	15483
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2817	77.0%
house	843	23.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2817	77.0%
house	843	23.0%

Most occurring characters

Value	Count	Frequency (%)
f	2817	18.2%
l	2817	18.2%
a	2817	18.2%
t	2817	18.2%
h	843	5.4%
o	843	5.4%
u	843	5.4%
s	843	5.4%
e	843	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15483	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2817	18.2%
l	2817	18.2%
a	2817	18.2%
t	2817	18.2%
h	843	5.4%
o	843	5.4%
u	843	5.4%
s	843	5.4%
e	843	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15483	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2817	18.2%
l	2817	18.2%
a	2817	18.2%
t	2817	18.2%
h	843	5.4%
o	843	5.4%
u	843	5.4%
s	843	5.4%
e	843	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15483	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2817	18.2%
l	2817	18.2%
a	2817	18.2%
t	2817	18.2%
h	843	5.4%
o	843	5.4%
u	843	5.4%
s	843	5.4%
e	843	5.4%

society
Categorical

Distinct	674
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	57.2 KiB

independent	481
tulip violet	75
ss the leaf	73
dlf new town heights	42
shapoorji pallonji joyville gurugram	42
Other values (669)	2946

Length

Max length	49
Median length	39
Mean length	16.86909
Min length	1

Characters and Unicode

Total characters	61724
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	307 ?
Unique (%)	8.4%

Sample

1st row	shree vardhman victoria
2nd row	supertech araville
3rd row	ss the leaf
4th row	dlf new town heights
5th row	chd avenue

Common Values

Value	Count	Frequency (%)
independent	481	13.1%
tulip violet	75	2.0%
ss the leaf	73	2.0%
dlf new town heights	42	1.1%
shapoorji pallonji joyville gurugram	42	1.1%
signature global park	35	1.0%
shree vardhman victoria	34	0.9%
emaar mgf emerald floors premier	32	0.9%
smart world orchard	32	0.9%
dlf the ultima	31	0.8%
Other values (664)	2782	76.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
independent	486	5.0%
the	350	3.6%
dlf	219	2.3%
park	209	2.2%
city	163	1.7%
m3m	152	1.6%
global	152	1.6%
emaar	151	1.6%
signature	149	1.5%
heights	134	1.4%
Other values (783)	7470	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6672	10.8%
	5978	9.7%
a	5836	9.5%
r	4153	6.7%
n	4138	6.7%
i	3814	6.2%
t	3702	6.0%
s	3464	5.6%
l	2927	4.7%
o	2744	4.4%
Other values (31)	18296	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55203	89.4%
Space Separator	5978	9.7%
Decimal Number	525	0.9%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6672	12.1%
a	5836	10.6%
r	4153	7.5%
n	4138	7.5%
i	3814	6.9%
t	3702	6.7%
s	3464	6.3%
l	2927	5.3%
o	2744	5.0%
d	2473	4.5%
Other values (16)	15280	27.7%

Decimal Number

Value	Count	Frequency (%)
3	206	39.2%
2	81	15.4%
1	75	14.3%
6	56	10.7%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	5978	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55203	89.4%
Common	6521	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6672	12.1%
a	5836	10.6%
r	4153	7.5%
n	4138	7.5%
i	3814	6.9%
t	3702	6.7%
s	3464	6.3%
l	2927	5.3%
o	2744	5.0%
d	2473	4.5%
Other values (16)	15280	27.7%

Common

Value	Count	Frequency (%)
	5978	91.7%
3	206	3.2%
2	81	1.2%
1	75	1.2%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	61724	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6672	10.8%
	5978	9.7%
a	5836	9.5%
r	4153	6.7%
n	4138	6.7%
i	3814	6.2%
t	3702	6.0%
s	3464	5.6%
l	2927	4.7%
o	2744	4.4%
Other values (31)	18296	29.6%

sector
Categorical

Distinct	113
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

sohna road	154
sector 85	108
sector 102	107
sector 92	100
sector 69	93
Other values (108)	3098

Length

Max length	26
Median length	9
Mean length	9.3224044
Min length	7

Characters and Unicode

Total characters	34120
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 70
2nd row	sector 79
3rd row	sector 85
4th row	sector 90
5th row	sector 71

Common Values

Value	Count	Frequency (%)
sohna road	154	4.2%
sector 85	108	3.0%
sector 102	107	2.9%
sector 92	100	2.7%
sector 69	93	2.5%
sector 90	89	2.4%
sector 81	87	2.4%
sector 65	87	2.4%
sector 109	86	2.3%
sector 79	76	2.1%
Other values (103)	2673	73.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	3435	46.7%
road	178	2.4%
sohna	166	2.3%
85	108	1.5%
102	107	1.5%
92	100	1.4%
69	93	1.3%
90	89	1.2%
81	87	1.2%
65	87	1.2%
Other values (106)	2898	39.4%

Most occurring characters

Value	Count	Frequency (%)
o	3790	11.1%
	3688	10.8%
s	3680	10.8%
r	3680	10.8%
e	3525	10.3%
c	3486	10.2%
t	3446	10.1%
1	1071	3.1%
0	802	2.4%
8	778	2.3%
Other values (21)	6174	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23197	68.0%
Decimal Number	7235	21.2%
Space Separator	3688	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3790	16.3%
s	3680	15.9%
r	3680	15.9%
e	3525	15.2%
c	3486	15.0%
t	3446	14.9%
a	699	3.0%
d	249	1.1%
n	221	1.0%
h	203	0.9%
Other values (10)	218	0.9%

Decimal Number

Value	Count	Frequency (%)
1	1071	14.8%
0	802	11.1%
8	778	10.8%
9	763	10.5%
6	734	10.1%
7	684	9.5%
2	672	9.3%
3	661	9.1%
5	589	8.1%
4	481	6.6%

Space Separator

Value	Count	Frequency (%)
	3688	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23197	68.0%
Common	10923	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3790	16.3%
s	3680	15.9%
r	3680	15.9%
e	3525	15.2%
c	3486	15.0%
t	3446	14.9%
a	699	3.0%
d	249	1.1%
n	221	1.0%
h	203	0.9%
Other values (10)	218	0.9%

Common

Value	Count	Frequency (%)
	3688	33.8%
1	1071	9.8%
0	802	7.3%
8	778	7.1%
9	763	7.0%
6	734	6.7%
7	684	6.3%
2	672	6.2%
3	661	6.1%
5	589	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3790	11.1%
	3688	10.8%
s	3680	10.8%
r	3680	10.8%
e	3525	10.3%
c	3486	10.2%
t	3446	10.1%
1	1071	3.1%
0	802	2.4%
8	778	2.3%
Other values (21)	6174	18.1%

price
Real number (ℝ)

Distinct	473
Distinct (%)	12.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336639

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9806235
Coefficient of variation (CV)	1.1764084
Kurtosis	14.933373
Mean	2.5336639
Median Absolute Deviation (MAD)	0.72
Skewness	3.2791705
Sum	9273.21
Variance	8.8841164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.5	64	1.7%
1.2	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.6%
0.95	52	1.4%
2	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

Distinct	2651
Distinct (%)	72.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
11111	13	0.4%
22222	13	0.4%
6666	13	0.4%
7500	12	0.3%
8333	12	0.3%
6000	11	0.3%
Other values (2641)	3509	95.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	1312
Distinct (%)	35.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2888.3311

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	50
5-th percentile	518.85
Q1	1232.25
median	1733
Q3	2300
95-th percentile	4246.2
Maximum	875000
Range	874950
Interquartile range (IQR)	1067.75

Descriptive statistics

Standard deviation	23167.506
Coefficient of variation (CV)	8.0210699
Kurtosis	942.02903
Mean	2888.3311
Median Absolute Deviation (MAD)	533
Skewness	29.730956
Sum	10571292
Variance	5.3673333 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
1950	43	1.2%
3240	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3267	89.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Categorical

Distinct	2349
Distinct (%)	64.2%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

Plot area 360(301.01 sq.m.)	36
Plot area 300(250.84 sq.m.)	26
Plot area 200(167.23 sq.m.)	19
Plot area 502(419.74 sq.m.)	18
Super Built up area 1578(146.6 sq.m.)	17
Other values (2344)	3544

Length

Max length	124
Median length	119
Mean length	54.300273
Min length	12

Characters and Unicode

Total characters	198739
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1846 ?
Unique (%)	50.4%

Sample

1st row	Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)
2nd row	Super Built up area 1295(120.31 sq.m.)Carpet area: 1250 sq.ft. (116.13 sq.m.)
3rd row	Super Built up area 1772(164.62 sq.m.)Built Up area: 1300 sq.ft. (120.77 sq.m.)Carpet area: 916 sq.ft. (85.1 sq.m.)
4th row	Carpet area: 1447 (134.43 sq.m.)
5th row	Super Built up area 1198(111.3 sq.m.)

Common Values

Value	Count	Frequency (%)
Plot area 360(301.01 sq.m.)	36	1.0%
Plot area 300(250.84 sq.m.)	26	0.7%
Plot area 200(167.23 sq.m.)	19	0.5%
Plot area 502(419.74 sq.m.)	18	0.5%
Super Built up area 1578(146.6 sq.m.)	17	0.5%
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17	0.5%
Plot area 270(225.75 sq.m.)	16	0.4%
Super Built up area 1350(125.42 sq.m.)	15	0.4%
Plot area 150(125.42 sq.m.)	14	0.4%
Super Built up area 2010(186.74 sq.m.)	14	0.4%
Other values (2339)	3468	94.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
area	5551	18.5%
sq.m	3638	12.1%
up	3015	10.0%
built	2314	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1183	3.9%
sq.m.)built	699	2.3%
carpet	682	2.3%
plot	667	2.2%
Other values (2840)	8665	28.8%

Most occurring characters

Value	Count	Frequency (%)
	26380	13.3%
.	20317	10.2%
a	13102	6.6%
r	9426	4.7%
e	9295	4.7%
1	9193	4.6%
s	7535	3.8%
q	7404	3.7%
t	7302	3.7%
u	6765	3.4%
Other values (25)	82020	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82487	41.5%
Decimal Number	46954	23.6%
Space Separator	26380	13.3%
Other Punctuation	23326	11.7%
Uppercase Letter	8566	4.3%
Close Punctuation	5513	2.8%
Open Punctuation	5513	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13102	15.9%
r	9426	11.4%
e	9295	11.3%
s	7535	9.1%
q	7404	9.0%
t	7302	8.9%
u	6765	8.2%
p	6759	8.2%
m	5522	6.7%
l	3682	4.5%
Other values (5)	5695	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9193	19.6%
0	6590	14.0%
2	5661	12.1%
5	4692	10.0%
3	3944	8.4%
4	3689	7.9%
6	3659	7.8%
7	3240	6.9%
8	3152	6.7%
9	3134	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3015	35.2%
S	1875	21.9%
C	1869	21.8%
U	1140	13.3%
P	667	7.8%

Other Punctuation

Value	Count	Frequency (%)
.	20317	87.1%
:	3009	12.9%

Space Separator

Value	Count	Frequency (%)
	26380	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5513	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5513	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	107686	54.2%
Latin	91053	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13102	14.4%
r	9426	10.4%
e	9295	10.2%
s	7535	8.3%
q	7404	8.1%
t	7302	8.0%
u	6765	7.4%
p	6759	7.4%
m	5522	6.1%
l	3682	4.0%
Other values (10)	14261	15.7%

Common

Value	Count	Frequency (%)
	26380	24.5%
.	20317	18.9%
1	9193	8.5%
0	6590	6.1%
2	5661	5.3%
)	5513	5.1%
(	5513	5.1%
5	4692	4.4%
3	3944	3.7%
4	3689	3.4%
Other values (5)	16194	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	198739	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26380	13.3%
.	20317	10.2%
a	13102	6.6%
r	9426	4.7%
e	9295	4.7%
1	9193	4.6%
s	7535	3.8%
q	7404	3.7%
t	7302	3.7%
u	6765	3.4%
Other values (25)	82020	41.3%

bedRoom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3480874

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8800121
Coefficient of variation (CV)	0.56151823
Kurtosis	18.504495
Mean	3.3480874
Median Absolute Deviation (MAD)	1
Skewness	3.5004336
Sum	12254
Variance	3.5344456
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.9%
2	940	25.7%
4	659	18.0%
5	200	5.5%
1	124	3.4%
6	73	2.0%
9	40	1.1%
8	30	0.8%
7	28	0.8%
12	27	0.7%
Other values (9)	43	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	940	25.7%
3	1496	40.9%
4	659	18.0%
5	200	5.5%
6	73	2.0%
7	28	0.8%
8	30	0.8%
9	40	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	11	0.3%
14	1	< 0.1%
13	4	0.1%
12	27	0.7%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4131148

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9291474
Coefficient of variation (CV)	0.56521611
Kurtosis	17.899933
Mean	3.4131148
Median Absolute Deviation (MAD)	1
Skewness	3.2651882
Sum	12492
Variance	3.7216099
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1076	29.4%
2	1045	28.6%
4	818	22.3%
5	289	7.9%
1	155	4.2%
6	117	3.2%
9	40	1.1%
7	38	1.0%
8	24	0.7%
12	21	0.6%
Other values (9)	37	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	155	4.2%
2	1045	28.6%
3	1076	29.4%
4	818	22.3%
5	289	7.9%
6	117	3.2%
7	38	1.0%
8	24	0.7%
9	40	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	7	0.2%
14	2	0.1%
13	4	0.1%
12	21	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

3+	1161
3	1072
2	882
1	364
0	181

Length

Max length	2
Median length	1
Mean length	1.3172131
Min length	1

Characters and Unicode

Total characters	4821
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3+
3rd row	3
4th row	3+
5th row	2

Common Values

Value	Count	Frequency (%)
3+	1161	31.7%
3	1072	29.3%
2	882	24.1%
1	364	9.9%
0	181	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2233	61.0%
2	882	24.1%
1	364	9.9%
0	181	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2233	46.3%
+	1161	24.1%
2	882	18.3%
1	364	7.6%
0	181	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3660	75.9%
Math Symbol	1161	24.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2233	61.0%
2	882	24.1%
1	364	9.9%
0	181	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1161	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4821	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2233	46.3%
+	1161	24.1%
2	882	18.3%
1	364	7.6%
0	181	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4821	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2233	46.3%
+	1161	24.1%
2	882	18.3%
1	364	7.6%
0	181	3.8%

floorNum
Real number (ℝ)

Distinct	43
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.8151607

Minimum	0
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	51
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0195333
Coefficient of variation (CV)	0.88325626
Kurtosis	4.4946742
Mean	6.8151607
Median Absolute Deviation (MAD)	3
Skewness	1.6887343
Sum	24814
Variance	36.234781
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	493	13.5%
2	488	13.3%
1	349	9.5%
4	312	8.5%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (33)	936	25.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	129	3.5%
1	349	9.5%
2	488	13.3%
3	493	13.5%
4	312	8.5%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%
9	161	4.4%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1039
Missing (%)	28.4%
Memory size	57.2 KiB

North-East	621
East	620
North	386
West	247
South	231
Other values (3)	516

Length

Max length	10
Median length	5
Mean length	6.8382297
Min length	4

Characters and Unicode

Total characters	17923
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South-East
2nd row	North
3rd row	North-East
4th row	North-West
5th row	South

Common Values

Value	Count	Frequency (%)
North-East	621	17.0%
East	620	16.9%
North	386	10.5%
West	247	6.7%
South	231	6.3%
North-West	192	5.2%
South-East	171	4.7%
South-West	153	4.2%
(Missing)	1039	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
north-east	621	23.7%
east	620	23.7%
north	386	14.7%
west	247	9.4%
south	231	8.8%
north-west	192	7.3%
south-east	171	6.5%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3758	21.0%
s	2004	11.2%
o	1754	9.8%
h	1754	9.8%
E	1412	7.9%
a	1412	7.9%
N	1199	6.7%
r	1199	6.7%
-	1137	6.3%
W	592	3.3%
Other values (3)	1702	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13028	72.7%
Uppercase Letter	3758	21.0%
Dash Punctuation	1137	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3758	28.8%
s	2004	15.4%
o	1754	13.5%
h	1754	13.5%
a	1412	10.8%
r	1199	9.2%
e	592	4.5%
u	555	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1412	37.6%
N	1199	31.9%
W	592	15.8%
S	555	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1137	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16786	93.7%
Common	1137	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3758	22.4%
s	2004	11.9%
o	1754	10.4%
h	1754	10.4%
E	1412	8.4%
a	1412	8.4%
N	1199	7.1%
r	1199	7.1%
W	592	3.5%
e	592	3.5%
Other values (2)	1110	6.6%

Common

Value	Count	Frequency (%)
-	1137	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17923	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3758	21.0%
s	2004	11.2%
o	1754	9.8%
h	1754	9.8%
E	1412	7.9%
a	1412	7.9%
N	1199	6.7%
r	1199	6.7%
-	1137	6.3%
W	592	3.3%
Other values (3)	1702	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

Relatively New	1640
New Property	590
Moderately Old	558
Undefined	445
Old Property	302

Length

Max length	18
Median length	14
Mean length	13.041257
Min length	9

Characters and Unicode

Total characters	47731
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Relatively New
2nd row	New Property
3rd row	Relatively New
4th row	Old Property
5th row	Moderately Old

Common Values

Value	Count	Frequency (%)
Relatively New	1640	44.8%
New Property	590	16.1%
Moderately Old	558	15.2%
Undefined	445	12.2%
Old Property	302	8.3%
Under Construction	125	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2230	32.4%
relatively	1640	23.9%
property	892	13.0%
old	860	12.5%
moderately	558	8.1%
undefined	445	6.5%
under	125	1.8%
construction	125	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	8533	17.9%
l	4698	9.8%
t	3340	7.0%
	3215	6.7%
y	3090	6.5%
r	2592	5.4%
d	2433	5.1%
N	2230	4.7%
w	2230	4.7%
i	2210	4.6%
Other values (15)	13160	27.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37641	78.9%
Uppercase Letter	6875	14.4%
Space Separator	3215	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8533	22.7%
l	4698	12.5%
t	3340	8.9%
y	3090	8.2%
r	2592	6.9%
d	2433	6.5%
w	2230	5.9%
i	2210	5.9%
a	2198	5.8%
o	1700	4.5%
Other values (7)	4617	12.3%

Uppercase Letter

Value	Count	Frequency (%)
N	2230	32.4%
R	1640	23.9%
P	892	13.0%
O	860	12.5%
U	570	8.3%
M	558	8.1%
C	125	1.8%

Space Separator

Value	Count	Frequency (%)
	3215	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44516	93.3%
Common	3215	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8533	19.2%
l	4698	10.6%
t	3340	7.5%
y	3090	6.9%
r	2592	5.8%
d	2433	5.5%
N	2230	5.0%
w	2230	5.0%
i	2210	5.0%
a	2198	4.9%
Other values (14)	10962	24.6%

Common

Value	Count	Frequency (%)
	3215	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	47731	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8533	17.9%
l	4698	9.8%
t	3340	7.0%
	3215	6.7%
y	3090	6.5%
r	2592	5.4%
d	2433	5.1%
N	2230	4.7%
w	2230	4.7%
i	2210	4.6%
Other values (15)	13160	27.6%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1785
Missing (%)	48.8%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	37	1.0%
1650	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.6%
(Missing)	1785	48.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	641
Distinct (%)	38.3%
Missing	1986
Missing (%)	54.3%
Infinite	0
Infinite (%)	0.0%
Mean	2386.1989

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	2
5-th percentile	240.65
Q1	1110.5
median	1650
Q3	2400
95-th percentile	4660.5
Maximum	737147
Range	737145
Interquartile range (IQR)	1289.5

Descriptive statistics

Standard deviation	18026.927
Coefficient of variation (CV)	7.5546621
Kurtosis	1652.6076
Mean	2386.1989
Median Absolute Deviation (MAD)	619.5
Skewness	40.523095
Sum	3994497
Variance	3.2497009 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	32	0.9%
900	28	0.8%
1600	26	0.7%
2000	24	0.7%
1300	24	0.7%
1700	23	0.6%
Other values (631)	1372	37.5%
(Missing)	1986	54.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	731
Distinct (%)	39.1%
Missing	1791
Missing (%)	48.9%
Infinite	0
Infinite (%)	0.0%
Mean	2532.5853

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	845
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	945

Descriptive statistics

Standard deviation	22817.978
Coefficient of variation (CV)	9.009757
Kurtosis	603.569
Mean	2532.5853
Median Absolute Deviation (MAD)	470
Skewness	24.313827
Sum	4733401.9
Variance	5.2066012 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (721)	1575	43.0%
(Missing)	1791	48.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

0	2963
1	697

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3660
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2963	81.0%
1	697	19.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2963	81.0%
1	697	19.0%

Most occurring characters

Value	Count	Frequency (%)
0	2963	81.0%
1	697	19.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3660	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2963	81.0%
1	697	19.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3660	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2963	81.0%
1	697	19.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2963	81.0%
1	697	19.0%

servant room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

0	2341
1	1319

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3660
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2341	64.0%
1	1319	36.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2341	64.0%
1	1319	36.0%

Most occurring characters

Value	Count	Frequency (%)
0	2341	64.0%
1	1319	36.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3660	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2341	64.0%
1	1319	36.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3660	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2341	64.0%
1	1319	36.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2341	64.0%
1	1319	36.0%

store room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

0	3325
1	335

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3660
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3325	90.8%
1	335	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3325	90.8%
1	335	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3325	90.8%
1	335	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3660	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3325	90.8%
1	335	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3660	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3325	90.8%
1	335	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3325	90.8%
1	335	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

0	3010
1	650

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3660
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3010	82.2%
1	650	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3010	82.2%
1	650	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3010	82.2%
1	650	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3660	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3010	82.2%
1	650	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3660	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3010	82.2%
1	650	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3010	82.2%
1	650	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

0	3258
1	402

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3660
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3258	89.0%
1	402	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3258	89.0%
1	402	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3258	89.0%
1	402	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3660	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3258	89.0%
1	402	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3660	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3258	89.0%
1	402	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3258	89.0%
1	402	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	57.2 KiB

0	2424
1	1035
2	201

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3660
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
0	2424	66.2%
1	1035	28.3%
2	201	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2424	66.2%
1	1035	28.3%
2	201	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	2424	66.2%
1	1035	28.3%
2	201	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3660	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2424	66.2%
1	1035	28.3%
2	201	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3660	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2424	66.2%
1	1035	28.3%
2	201	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3660	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2424	66.2%
1	1035	28.3%
2	201	5.5%

luxury_score
Real number (ℝ)

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.535519

Minimum	0
Maximum	174
Zeros	459
Zeros (%)	12.5%
Negative	0
Negative (%)	0.0%
Memory size	57.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.067275
Coefficient of variation (CV)	0.74183113
Kurtosis	-0.87960822
Mean	71.535519
Median Absolute Deviation (MAD)	38
Skewness	0.45973511
Sum	261820
Variance	2816.1357
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	459	12.5%
49	347	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
42	45	1.2%
37	45	1.2%
Other values (151)	2300	62.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	459	12.5%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	42	1.1%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	27	0.7%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	price	price_per_sqft	area	bedRoom	bathroom	floorNum	super_built_up_area	built_up_area	carpet_area	luxury_score	property_type	balcony	facing	agePossession	study room	servant room	store room	pooja room	others	furnishing_type
price	1.000	0.744	0.744	0.681	0.720	0.001	0.772	0.605	0.613	0.215	0.543	0.136	0.021	0.102	0.244	0.369	0.303	0.334	0.034	0.175
price_per_sqft	0.744	1.000	0.207	0.417	0.411	-0.126	0.287	0.132	0.136	0.054	0.201	0.033	0.000	0.046	0.030	0.044	0.000	0.043	0.036	0.022
area	0.744	0.207	1.000	0.624	0.687	0.116	0.948	0.835	0.801	0.259	0.028	0.011	0.022	0.000	0.018	0.015	0.039	0.037	0.042	0.043
bedRoom	0.681	0.417	0.624	1.000	0.862	-0.100	0.800	0.397	0.573	0.058	0.592	0.174	0.029	0.124	0.148	0.315	0.224	0.288	0.073	0.166
bathroom	0.720	0.411	0.687	0.862	1.000	-0.002	0.819	0.486	0.603	0.180	0.469	0.224	0.039	0.107	0.170	0.519	0.244	0.284	0.064	0.192
floorNum	0.001	-0.126	0.116	-0.100	-0.002	1.000	0.152	0.090	0.158	0.232	0.482	0.079	0.000	0.123	0.076	0.086	0.111	0.101	0.033	0.026
super_built_up_area	0.772	0.287	0.948	0.800	0.819	0.152	1.000	0.926	0.894	0.222	1.000	0.306	0.000	0.080	0.121	0.584	0.046	0.157	0.084	0.132
built_up_area	0.605	0.132	0.835	0.397	0.486	0.090	0.926	1.000	0.969	0.294	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.091
carpet_area	0.613	0.136	0.801	0.573	0.603	0.158	0.894	0.969	1.000	0.240	0.000	0.026	0.000	0.000	0.004	0.000	0.000	0.000	0.017	0.000
luxury_score	0.215	0.054	0.259	0.058	0.180	0.232	0.222	0.294	0.240	1.000	0.330	0.224	0.065	0.224	0.180	0.346	0.229	0.187	0.175	0.238
property_type	0.543	0.201	0.028	0.592	0.469	0.482	1.000	0.000	0.000	0.330	1.000	0.212	0.093	0.356	0.123	0.062	0.241	0.250	0.024	0.085
balcony	0.136	0.033	0.011	0.174	0.224	0.079	0.306	0.000	0.026	0.224	0.212	1.000	0.017	0.229	0.180	0.439	0.144	0.194	0.080	0.177
facing	0.021	0.000	0.022	0.029	0.039	0.000	0.000	1.000	0.000	0.065	0.093	0.017	1.000	0.090	0.000	0.034	0.037	0.031	0.000	0.054
agePossession	0.102	0.046	0.000	0.124	0.107	0.123	0.080	0.000	0.000	0.224	0.356	0.229	0.090	1.000	0.109	0.282	0.142	0.186	0.107	0.214
study room	0.244	0.030	0.018	0.148	0.170	0.076	0.121	0.000	0.004	0.180	0.123	0.180	0.000	0.109	1.000	0.181	0.226	0.309	0.026	0.136
servant room	0.369	0.044	0.015	0.315	0.519	0.086	0.584	0.000	0.000	0.346	0.062	0.439	0.034	0.282	0.181	1.000	0.159	0.249	0.000	0.265
store room	0.303	0.000	0.039	0.224	0.244	0.111	0.046	0.000	0.000	0.229	0.241	0.144	0.037	0.142	0.226	0.159	1.000	0.305	0.106	0.154
pooja room	0.334	0.043	0.037	0.288	0.284	0.101	0.157	0.000	0.000	0.187	0.250	0.194	0.031	0.186	0.309	0.249	0.305	1.000	0.028	0.213
others	0.034	0.036	0.042	0.073	0.064	0.033	0.084	0.000	0.017	0.175	0.024	0.080	0.000	0.107	0.026	0.000	0.106	0.028	1.000	0.061
furnishing_type	0.175	0.022	0.043	0.166	0.192	0.026	0.132	0.091	0.000	0.238	0.085	0.177	0.054	0.214	0.136	0.265	0.154	0.213	0.061	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	flat	shree vardhman victoria	sector 70	1.55	7948.0	1950.0	Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	3	3	3	6.0	South-East	Relatively New	1950.0	NaN	1161.0	1	1	0	1	1	0	49
1	flat	supertech araville	sector 79	0.71	6061.0	1171.0	Super Built up area 1295(120.31 sq.m.)Carpet area: 1250 sq.ft. (116.13 sq.m.)	2	2	3+	17.0	North	New Property	1295.0	NaN	1250.0	0	0	0	0	1	0	53
2	flat	ss the leaf	sector 85	1.22	13318.0	916.0	Super Built up area 1772(164.62 sq.m.)Built Up area: 1300 sq.ft. (120.77 sq.m.)Carpet area: 916 sq.ft. (85.1 sq.m.)	2	2	3	16.0	North-East	Relatively New	1772.0	1300.0	916.0	0	0	1	0	0	0	81
3	flat	dlf new town heights	sector 90	1.25	8638.0	1447.0	Carpet area: 1447 (134.43 sq.m.)	3	4	3+	0.0	North-West	Old Property	NaN	NaN	1447.0	0	1	0	0	0	2	31
4	flat	chd avenue	sector 71	0.95	7929.0	1198.0	Super Built up area 1198(111.3 sq.m.)	2	2	2	5.0	South	Moderately Old	1198.0	NaN	NaN	0	0	0	0	0	1	142
5	flat	emaar mgf the palm drive	sector 66	3.20	17777.0	1800.0	Super Built up area 2200(204.39 sq.m.)Carpet area: 1800 sq.ft. (167.23 sq.m.)	3	3	3	12.0	South-West	Relatively New	2200.0	NaN	1800.0	1	1	1	1	0	0	117
6	flat	m3m heights	sector 65	2.29	15980.0	1433.0	Carpet area: 1433 (133.13 sq.m.)	2	2	3	8.0	NaN	Under Construction	NaN	NaN	1433.0	1	0	0	0	0	0	15
7	flat	central park flower valley aqua front towers	sector 33	2.10	11738.0	1789.0	Super Built up area 1789(166.2 sq.m.)	3	3	2	6.0	NaN	Under Construction	1789.0	NaN	NaN	0	0	0	0	0	0	24
8	flat	orchid petals	sector 49	2.45	11887.0	2061.0	Super Built up area 2061(191.47 sq.m.)	3	3	3	0.0	North-East	Relatively New	2061.0	NaN	NaN	1	0	0	0	0	0	49
9	house	dlf alameda	sector 73	17.00	35109.0	4842.0	Plot area 4842(449.84 sq.m.)Built Up area: 9000 sq.ft. (836.13 sq.m.)	5	8	3	3.0	North-West	Relatively New	NaN	9000.0	NaN	1	1	1	1	0	2	87

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	servant room	furnishing_type	luxury_score
3775	flat	tulip violet	sector 69	1.20	8888.0	1350.0	Super Built up area 1350(125.42 sq.m.)	2	3	1	0.0	North-West	Relatively New	1350.0	NaN	NaN	0	0	150
3776	house	independent	sector 48	5.50	23504.0	2340.0	Plot area 260(217.39 sq.m.)	4	4	2	2.0	North	Relatively New	NaN	2340.0	NaN	1	1	22
3777	flat	breez global hill view	sohna road	2.60	46917.0	554.0	Carpet area: 554.16 (51.48 sq.m.)	2	2	2	6.0	NaN	New Property	NaN	NaN	554.125572	0	0	42
3778	flat	chanderlok society	sector 28	0.90	7234.0	1244.0	Carpet area: 1244 (115.57 sq.m.)	4	2	3+	1.0	NaN	Old Property	NaN	NaN	1244.000000	0	0	0
3779	flat	bestech park view residency	sector 2	0.55	8461.0	650.0	Super Built up area 650(60.39 sq.m.)	1	1	2	7.0	North	Moderately Old	650.0	NaN	NaN	0	0	31
3780	flat	pareena mi casa	sector 68	1.15	9236.0	1245.0	Super Built up area 1245(115.66 sq.m.)	2	2	3	8.0	East	New Property	1245.0	NaN	NaN	0	0	49
3781	flat	hero homes	dwarka expressway	1.60	7825.0	2045.0	Super Built up area 1689(156.91 sq.m.)	3	3	3	1.0	NaN	New Property	1689.0	NaN	NaN	0	0	49
3782	flat	emaar mgf emerald floors premier	sector 65	3.50	17721.0	1975.0	Super Built up area 1975(183.48 sq.m.)	4	4	3	4.0	East	Relatively New	1975.0	NaN	NaN	1	1	114
3783	flat	parsvnath green ville	sector 48	1.50	8787.0	1707.0	Super Built up area 1707(158.59 sq.m.)Built Up area: 1600 sq.ft. (148.64 sq.m.)Carpet area: 1400 sq.ft. (130.06 sq.m.)	3	3	3	1.0	North	Old Property	1707.0	1600.0	1400.000000	0	1	128
3784	flat	smriti apartment	sector 56	0.60	10000.0	600.0	Super Built up area 600(55.74 sq.m.)	1	1	1	2.0	NaN	Moderately Old	600.0	NaN	NaN	0	0	49

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII